Showing 9,141 - 9,160 results of 18,816 for search 'significantly ((((lower decrease) OR (((a decrease) OR (mean decrease))))) OR (linear decrease))', query time: 0.56s Refine Results
  1. 9141

    Table 1_Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study.docx by Francesco Campa (20997323)

    Published 2025
    “…Aging was associated with increased R/H and decreased phase angle, whereas older individuals with higher ALSM exhibited a greater phase angle and lower R/H, and Xc/H. …”
  2. 9142

    Table 2_Bioelectrical impedance vector analysis in older adults: reference standards from a cross-sectional study.docx by Francesco Campa (20997323)

    Published 2025
    “…Aging was associated with increased R/H and decreased phase angle, whereas older individuals with higher ALSM exhibited a greater phase angle and lower R/H, and Xc/H. …”
  3. 9143
  4. 9144

    Raw data. by Mohamed Condé (22622306)

    Published 2025
    “…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”
  5. 9145

    Risk factors for ACS (multivariate analysis). by Mohamed Condé (22622306)

    Published 2025
    “…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”
  6. 9146

    Raw data. by Mohamed Condé (22622306)

    Published 2025
    “…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”
  7. 9147

    Characteristics of the 280 VOCs at inclusion. by Mohamed Condé (22622306)

    Published 2025
    “…Increased use of opiates in the Emergency Department, elevated total leucocyte count, breath rate, and decreased red blood cell count were not significantly associated with ACS occurrence (p > 0.05). …”
  8. 9148
  9. 9149
  10. 9150

    Identification of a Novel Virulence Factor in <i>Klebsiella pneumoniae</i> through CpxR-Dependent Transcriptional Activation by Runze Wang (21792959)

    Published 2025
    “…Among the genes exhibiting significantly decreased expression upon <i>cpxR</i> deletion<i>, </i>we identified a novel potential virulence factor KPHS_28080. …”
  11. 9151

    Data Sheet 1_Prophylactic administration of lecithinized superoxide dismutase for a murine model of oxaliplatin-induced myelosuppression.pdf by Mikako Shimoda (9519493)

    Published 2025
    “…Background<p>Oxaliplatin, in combination with 5-fluorouracil and leucovorin, is a standard treatment for colorectal cancer and shows high efficacy. …”
  12. 9152

    Image 1_BmElmo is a factor for inhibiting Autographa Californica nucleopolyhedrovirus infection in silkworm, Bombyx mori.tif by Zhi-sheng Wang (20981183)

    Published 2025
    “…AcMNPV replication increased significantly after BmElmo knockdown in BmN cells, and decreased significantly after BmElmo overexpression. …”
  13. 9153

    Overall model framework. by Ke Yan (331581)

    Published 2024
    “…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”
  14. 9154

    Key parameters of LSTM training model. by Ke Yan (331581)

    Published 2024
    “…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”
  15. 9155

    Comparison chart of model evaluation results. by Ke Yan (331581)

    Published 2024
    “…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”
  16. 9156

    Model performance evaluation results. by Ke Yan (331581)

    Published 2024
    “…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”
  17. 9157

    The result compared with other existing methods. by Ke Yan (331581)

    Published 2024
    “…On the other hand, taking English writing teaching as an example, the proposed method is further verified by designing a comparative experiment in groups. The results show that: (1) From the experimental data of word sense disambiguation, the accuracy of the SMOSS-LSTM model proposed in this paper is the lowest when the context range is "3+3", then it rises in turn at "5+5" and "7+7", reaches the highest at "7+7", and then begins to decrease at "10+10"; (2) Compared with the control group, the accuracy of syntactic analysis in the experimental group reached 89.5%, while that in the control group was only 73.2%. (3) In the aspect of English text error detection, the detection accuracy of the proposed model in the experimental group is as high as 94.8%, which is significantly better than the traditional SMOSS-based text error detection method, and its accuracy is only 68.3%. (4) Compared with other existing researches, although it is slightly inferior to Bidirectional Encoder Representations from Transformers (BERT) in word sense disambiguation, this proposed model performs well in syntactic analysis and English text error detection, and its comprehensive performance is excellent. …”
  18. 9158

    Data_Sheet_1_Dietary patterns, genetic predisposition, and risk of cholelithiasis: a large-scale prospective cohort study.pdf by Kecheng Jin (19748674)

    Published 2024
    “…A significant decrease in cholelithiasis risk was observed across PRS quintiles, low PRS was associated with a 16% reduced risk (HR: 0.84; 95%CI: 0.77–0.92). …”
  19. 9159

    Data Sheet 1_Efficacy and safety of dietary polyphenol supplements for COPD: a systematic review and meta-analysis.zip by Dongsheng Wu (2469307)

    Published 2025
    “…</p>Results<p>The randomized controlled trials (RCTs) included in this review examined dietary supplementation with eight polyphenols—curcumin, resveratrol, anthocyanins, quercetin, salidroside, dietary beetroot juice, pomegranate juice, and adjunctive oral AKL1 treatment—across a total of 894 participants. This systematic review and meta-analysis revealed that, compared to a placebo; ① Curcumin significantly reduced systolic blood pressure (SBP) and improved FEV1(SMD=-0.82, 95%CI -1.53 to -0.11); ② Salidroside was effective in reducing thrombotic markers (TT, D-D), inflammatory factors (TNF-α) and symptom scores (CAT) (p<0.01); ③ Resveratrol significantly downregulates serum TNF-α and IL-8 levels (p=0.003); ④ Anthocyanins may accelerate lung function decline (decreased FEV1/FVC, which needs to be interpreted with caution); ⑤ Other polyphenols (quercetin, pomegranate juice, AKL1, etc.) did not show significant efficacy or insufficient evidence. …”
  20. 9160

    Supplementary Material for: Early initiation of icodextrin reduces peritoneal dialysis-associated peritonitis risk: a retrospective cohort study by Mitsuno R. (20394647)

    Published 2024
    “…The early use of ICO remained significantly associated with decreased incidence of both peritonitis and TI (hazards ratio [HR], 0.19; 95% confidence interval [CI], 0.06–0.69 and HR, 0.10; 95% CI, 0.01–0.78, respectively) using Cox regression analysis adjusted for potential confounders. …”